Pandas Profiling Report

Dataset statistics

Number of variables	32
Number of observations	5500
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	288.0 B

Variable types

Categorical	12
Numeric	20

Alerts

`device_fraud_count` has constant value "0"	Constant
`foreign_request` is highly imbalanced (77.7%)	Imbalance
`source` is highly imbalanced (93.9%)	Imbalance
`device_distinct_emails_8w` is highly imbalanced (79.2%)	Imbalance
`name_email_similarity` has unique values	Unique
`days_since_request` has unique values	Unique
`intended_balcon_amount` has unique values	Unique
`velocity_6h` has unique values	Unique
`velocity_24h` has unique values	Unique
`velocity_4w` has unique values	Unique
`bank_branch_count_8w` has 1021 (18.6%) zeros	Zeros
`employment_status` has 4220 (76.7%) zeros	Zeros
`housing_status` has 1957 (35.6%) zeros	Zeros
`month` has 734 (13.3%) zeros	Zeros

Reproduction

Analysis started	2023-07-17 08:05:48.375600
Analysis finished	2023-07-17 08:06:34.142479
Duration	45.77 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

fraud_bool
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	2777
1	2723

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2777	50.5%
1	2723	49.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2777	50.5%
1	2723	49.5%

Most occurring characters

Value	Count	Frequency (%)
0	2777	50.5%
1	2723	49.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2777	50.5%
1	2723	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2777	50.5%
1	2723	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2777	50.5%
1	2723	49.5%

income
Real number (ℝ)

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.61781818

Minimum	0.1
Maximum	0.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.1
Q1	0.4
median	0.7
Q3	0.9
95-th percentile	0.9
Maximum	0.9
Range	0.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.28819087
Coefficient of variation (CV)	0.4664655
Kurtosis	-1.0127551
Mean	0.61781818
Median Absolute Deviation (MAD)	0.2
Skewness	-0.66245063
Sum	3398
Variance	0.083053977
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0.9	1757	31.9%
0.8	809	14.7%
0.1	708	12.9%
0.6	570	10.4%
0.7	507	9.2%
0.4	385	7.0%
0.2	306	5.6%
0.5	246	4.5%
0.3	212	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	708	12.9%
0.2	306	5.6%
0.3	212	3.9%
0.4	385	7.0%
0.5	246	4.5%
0.6	570	10.4%
0.7	507	9.2%
0.8	809	14.7%
0.9	1757	31.9%

Value	Count	Frequency (%)
0.9	1757	31.9%
0.8	809	14.7%
0.7	507	9.2%
0.6	570	10.4%
0.5	246	4.5%
0.4	385	7.0%
0.3	212	3.9%
0.2	306	5.6%
0.1	708	12.9%

name_email_similarity
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.43993356

Minimum	0.00041230123
Maximum	0.99990304
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0.00041230123
5-th percentile	0.049570759
Q1	0.16306603
median	0.40105978
Q3	0.71988657
95-th percentile	0.90917754
Maximum	0.99990304
Range	0.99949074
Interquartile range (IQR)	0.55682054

Descriptive statistics

Standard deviation	0.29724521
Coefficient of variation (CV)	0.67565932
Kurtosis	-1.3021793
Mean	0.43993356
Median Absolute Deviation (MAD)	0.26223537
Skewness	0.27221965
Sum	2419.6346
Variance	0.088354715
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.7792448406	1	< 0.1%
0.5512529286	1	< 0.1%
0.1353800828	1	< 0.1%
0.8178033991	1	< 0.1%
0.7755687696	1	< 0.1%
0.1513656895	1	< 0.1%
0.05772770305	1	< 0.1%
0.3237178092	1	< 0.1%
0.5726008577	1	< 0.1%
0.887854906	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0004123012334	1	< 0.1%
0.0004440927114	1	< 0.1%
0.0007856695796	1	< 0.1%
0.001000799831	1	< 0.1%
0.001407635748	1	< 0.1%
0.00167055161	1	< 0.1%
0.001807455147	1	< 0.1%
0.001939988627	1	< 0.1%
0.001963046779	1	< 0.1%
0.002537553055	1	< 0.1%

Value	Count	Frequency (%)
0.9999030413	1	< 0.1%
0.9998052127	1	< 0.1%
0.9997921896	1	< 0.1%
0.9997304468	1	< 0.1%
0.9994507157	1	< 0.1%
0.9993550212	1	< 0.1%
0.9993363703	1	< 0.1%
0.9993278189	1	< 0.1%
0.9992479729	1	< 0.1%
0.9992063694	1	< 0.1%

prev_address_months_count
Real number (ℝ)

Distinct	202
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.304727

Minimum	-1
Maximum	361
Zeros	0
Zeros (%)	0.0%
Negative	4463
Negative (%)	81.1%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	81.05
Maximum	361
Range	362
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	38.824015
Coefficient of variation (CV)	3.4343168
Kurtosis	29.331354
Mean	11.304727
Median Absolute Deviation (MAD)	0
Skewness	4.9377802
Sum	62176
Variance	1507.3041
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	4463	81.1%
11	45	0.8%
30	44	0.8%
10	41	0.7%
31	37	0.7%
29	37	0.7%
28	33	0.6%
27	30	0.5%
12	29	0.5%
13	29	0.5%
Other values (192)	712	12.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	4463	81.1%
8	6	0.1%
9	19	0.3%
10	41	0.7%
11	45	0.8%
12	29	0.5%
13	29	0.5%
14	3	0.1%
16	2	< 0.1%
17	2	< 0.1%

Value	Count	Frequency (%)
361	1	< 0.1%
360	1	< 0.1%
346	1	< 0.1%
344	1	< 0.1%
341	1	< 0.1%
334	1	< 0.1%
332	1	< 0.1%
326	1	< 0.1%
322	1	< 0.1%
321	2	< 0.1%

current_address_months_count
Real number (ℝ)

Distinct	377
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	99.846909

Minimum	-1
Maximum	402
Zeros	27
Zeros (%)	0.5%
Negative	14
Negative (%)	0.3%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	5
Q1	34
median	73
Q3	145
95-th percentile	287.05
Maximum	402
Range	403
Interquartile range (IQR)	111

Descriptive statistics

Standard deviation	88.254537
Coefficient of variation (CV)	0.88389854
Kurtosis	1.0612493
Mean	99.846909
Median Absolute Deviation (MAD)	50
Skewness	1.2279669
Sum	549158
Variance	7788.8633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	72	1.3%
7	71	1.3%
5	67	1.2%
3	63	1.1%
11	60	1.1%
8	57	1.0%
2	53	1.0%
36	52	0.9%
40	52	0.9%
14	49	0.9%
Other values (367)	4904	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	14	0.3%
0	27	0.5%
1	30	0.5%
2	53	1.0%
3	63	1.1%
4	48	0.9%
5	67	1.2%
6	72	1.3%
7	71	1.3%
8	57	1.0%

Value	Count	Frequency (%)
402	1	< 0.1%
390	1	< 0.1%
389	1	< 0.1%
388	1	< 0.1%
387	1	< 0.1%
385	1	< 0.1%
384	1	< 0.1%
383	1	< 0.1%
382	4	0.1%
381	4	0.1%

customer_age
Real number (ℝ)

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.12

Minimum	10
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	10
5-th percentile	20
Q1	30
median	40
Q3	50
95-th percentile	60
Maximum	80
Range	70
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.017123
Coefficient of variation (CV)	0.35067681
Kurtosis	-0.33841386
Mean	37.12
Median Absolute Deviation (MAD)	10
Skewness	0.34821242
Sum	204160
Variance	169.4455
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
30	1522	27.7%
40	1351	24.6%
50	1076	19.6%
20	1000	18.2%
60	386	7.0%
70	73	1.3%
10	71	1.3%
80	21	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	71	1.3%
20	1000	18.2%
30	1522	27.7%
40	1351	24.6%
50	1076	19.6%
60	386	7.0%
70	73	1.3%
80	21	0.4%

Value	Count	Frequency (%)
80	21	0.4%
70	73	1.3%
60	386	7.0%
50	1076	19.6%
40	1351	24.6%
30	1522	27.7%
20	1000	18.2%
10	71	1.3%

days_since_request
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0974769

Minimum	1.0131141 × 10^-6
Maximum	75.542228
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	1.0131141 × 10^-6
5-th percentile	0.0012942457
Q1	0.0067664271
median	0.014260019
Q3	0.025296693
95-th percentile	5.7720435
Maximum	75.542228
Range	75.542227
Interquartile range (IQR)	0.018530265

Descriptive statistics

Standard deviation	5.8317451
Coefficient of variation (CV)	5.3137746
Kurtosis	99.451938
Mean	1.0974769
Median Absolute Deviation (MAD)	0.0085243534
Skewness	9.1470888
Sum	6036.1232
Variance	34.009251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.02110889945	1	< 0.1%
0.01117185114	1	< 0.1%
0.0006074459183	1	< 0.1%
0.009223247485	1	< 0.1%
0.009166839964	1	< 0.1%
0.01534107892	1	< 0.1%
0.005720793004	1	< 0.1%
0.005966488637	1	< 0.1%
0.02035226683	1	< 0.1%
0.02026578312	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.013114141 × 10^-6	1	< 0.1%
3.764140761 × 10^-6	1	< 0.1%
8.48461672 × 10^-6	1	< 0.1%
8.709347877 × 10^-6	1	< 0.1%
2.156641541 × 10^-5	1	< 0.1%
2.601894185 × 10^-5	1	< 0.1%
3.151253745 × 10^-5	1	< 0.1%
3.510499228 × 10^-5	1	< 0.1%
3.865886698 × 10^-5	1	< 0.1%
3.941874931 × 10^-5	1	< 0.1%

Value	Count	Frequency (%)
75.54222839	1	< 0.1%
74.86882796	1	< 0.1%
74.86462468	1	< 0.1%
73.83174607	1	< 0.1%
72.99068764	1	< 0.1%
72.24382139	1	< 0.1%
72.15778385	1	< 0.1%
72.10941337	1	< 0.1%
71.78505923	1	< 0.1%
71.3739354	1	< 0.1%

intended_balcon_amount
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.5908617

Minimum	-6.3271116
Maximum	110.94279
Zeros	0
Zeros (%)	0.0%
Negative	4443
Negative (%)	80.8%
Memory size	85.9 KiB

Quantile statistics

Minimum	-6.3271116
5-th percentile	-1.5857968
Q1	-1.2002076
median	-0.87143294
Q3	-0.42305433
95-th percentile	49.721074
Maximum	110.94279
Range	117.2699
Interquartile range (IQR)	0.7771533

Descriptive statistics

Standard deviation	18.935875
Coefficient of variation (CV)	2.87305
Kurtosis	9.9068424
Mean	6.5908617
Median Absolute Deviation (MAD)	0.37200566
Skewness	3.0175571
Sum	36249.739
Variance	358.56736
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1.253772477	1	< 0.1%
-0.8325816232	1	< 0.1%
-0.9153381607	1	< 0.1%
20.41620595	1	< 0.1%
-0.7767550211	1	< 0.1%
-0.6535074651	1	< 0.1%
-1.188447238	1	< 0.1%
-0.4314345668	1	< 0.1%
-0.8663288789	1	< 0.1%
-0.3363496272	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-6.327111566	1	< 0.1%
-4.955735289	1	< 0.1%
-4.772975962	1	< 0.1%
-4.543375583	1	< 0.1%
-4.244589691	1	< 0.1%
-3.607667155	1	< 0.1%
-3.455400025	1	< 0.1%
-3.283485615	1	< 0.1%
-2.860092751	1	< 0.1%
-2.633324413	1	< 0.1%

Value	Count	Frequency (%)
110.9427907	1	< 0.1%
109.1411107	1	< 0.1%
109.122426	1	< 0.1%
107.8971166	1	< 0.1%
107.8820079	1	< 0.1%
106.5369373	1	< 0.1%
106.2991256	1	< 0.1%
105.9925994	1	< 0.1%
105.7679449	1	< 0.1%
105.6223722	1	< 0.1%

payment_type
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	2098
2	1682
0	1094
3	625
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	2098	38.1%
2	1682	30.6%
0	1094	19.9%
3	625	11.4%
4	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2098	38.1%
2	1682	30.6%
0	1094	19.9%
3	625	11.4%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	2098	38.1%
2	1682	30.6%
0	1094	19.9%
3	625	11.4%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2098	38.1%
2	1682	30.6%
0	1094	19.9%
3	625	11.4%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2098	38.1%
2	1682	30.6%
0	1094	19.9%
3	625	11.4%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2098	38.1%
2	1682	30.6%
0	1094	19.9%
3	625	11.4%
4	1	< 0.1%

zip_count_4w
Real number (ℝ)

Distinct	2559
Distinct (%)	46.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1596.2698

Minimum	19
Maximum	6336
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	19
5-th percentile	504.9
Q1	910
median	1303.5
Q3	1990.25
95-th percentile	3675
Maximum	6336
Range	6317
Interquartile range (IQR)	1080.25

Descriptive statistics

Standard deviation	994.58384
Coefficient of variation (CV)	0.6230675
Kurtosis	2.0071388
Mean	1596.2698
Median Absolute Deviation (MAD)	478.5
Skewness	1.4122368
Sum	8779484
Variance	989197.02
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
874	10	0.2%
1180	9	0.2%
1059	9	0.2%
901	9	0.2%
823	9	0.2%
888	9	0.2%
1064	9	0.2%
758	9	0.2%
675	8	0.1%
1113	8	0.1%
Other values (2549)	5411	98.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19	1	< 0.1%
39	1	< 0.1%
43	1	< 0.1%
56	1	< 0.1%
64	1	< 0.1%
85	1	< 0.1%
96	1	< 0.1%
99	1	< 0.1%
104	1	< 0.1%
106	1	< 0.1%

Value	Count	Frequency (%)
6336	1	< 0.1%
6262	1	< 0.1%
6135	1	< 0.1%
6037	1	< 0.1%
5857	1	< 0.1%
5803	1	< 0.1%
5763	1	< 0.1%
5755	1	< 0.1%
5749	1	< 0.1%
5717	1	< 0.1%

velocity_6h
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5459.956

Minimum	54.188813
Maximum	15901.17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	54.188813
5-th percentile	1204.4584
Q1	3175.2061
median	5143.9913
Q3	7472.5023
95-th percentile	10754.113
Maximum	15901.17
Range	15846.981
Interquartile range (IQR)	4297.2961

Descriptive statistics

Standard deviation	2993.4015
Coefficient of variation (CV)	0.54824646
Kurtosis	0.11488676
Mean	5459.956
Median Absolute Deviation (MAD)	2107.1733
Skewness	0.61124667
Sum	30029758
Variance	8960452.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1312.045321	1	< 0.1%
14504.41637	1	< 0.1%
5182.636583	1	< 0.1%
1241.708703	1	< 0.1%
3019.412096	1	< 0.1%
5599.388883	1	< 0.1%
4937.943642	1	< 0.1%
4109.21276	1	< 0.1%
9206.178244	1	< 0.1%
13296.93897	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
54.18881317	1	< 0.1%
91.04217403	1	< 0.1%
231.9447747	1	< 0.1%
232.0702994	1	< 0.1%
283.5523572	1	< 0.1%
312.1043517	1	< 0.1%
321.204449	1	< 0.1%
337.2401055	1	< 0.1%
345.4902775	1	< 0.1%
355.244383	1	< 0.1%

Value	Count	Frequency (%)
15901.16979	1	< 0.1%
15827.87064	1	< 0.1%
15798.41077	1	< 0.1%
15587.95438	1	< 0.1%
15514.56456	1	< 0.1%
15500.55085	1	< 0.1%
15453.23959	1	< 0.1%
15449.3707	1	< 0.1%
15446.31095	1	< 0.1%
15427.85188	1	< 0.1%

velocity_24h
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4692.6715

Minimum	1501.3342
Maximum	9359.9994
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	1501.3342
5-th percentile	2542.9455
Q1	3498.7048
median	4711.5902
Q3	5662.6667
95-th percentile	7241.5974
Maximum	9359.9994
Range	7858.6651
Interquartile range (IQR)	2163.9619

Descriptive statistics

Standard deviation	1452.5167
Coefficient of variation (CV)	0.30952873
Kurtosis	-0.3645399
Mean	4692.6715
Median Absolute Deviation (MAD)	1067.8065
Skewness	0.31421097
Sum	25809694
Variance	2109804.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2941.556881	1	< 0.1%
6999.810724	1	< 0.1%
2882.417564	1	< 0.1%
5178.522788	1	< 0.1%
3205.782614	1	< 0.1%
3839.773469	1	< 0.1%
5357.490414	1	< 0.1%
4096.711731	1	< 0.1%
5921.416961	1	< 0.1%
5584.842747	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1501.334249	1	< 0.1%
1562.100494	1	< 0.1%
1609.577395	1	< 0.1%
1654.461645	1	< 0.1%
1654.913934	1	< 0.1%
1674.902146	1	< 0.1%
1679.280573	1	< 0.1%
1694.875261	1	< 0.1%
1712.666131	1	< 0.1%
1715.497236	1	< 0.1%

Value	Count	Frequency (%)
9359.999387	1	< 0.1%
9355.276966	1	< 0.1%
9159.457608	1	< 0.1%
9137.144861	1	< 0.1%
9123.528092	1	< 0.1%
9112.394133	1	< 0.1%
9102.628855	1	< 0.1%
9089.964448	1	< 0.1%
9055.509978	1	< 0.1%
9046.645756	1	< 0.1%

velocity_4w
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4819.6322

Minimum	2980.7328
Maximum	6894.8177
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	2980.7328
5-th percentile	3106.4542
Q1	4233.699
median	4884.0574
Q3	5482.0771
95-th percentile	6573.713
Maximum	6894.8177
Range	3914.0848
Interquartile range (IQR)	1248.378

Descriptive statistics

Standard deviation	951.85507
Coefficient of variation (CV)	0.19749538
Kurtosis	-0.48681282
Mean	4819.6322
Median Absolute Deviation (MAD)	630.98904
Skewness	-0.018179346
Sum	26507977
Variance	906028.08
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4124.607584	1	< 0.1%
5703.215772	1	< 0.1%
4812.882434	1	< 0.1%
5333.045901	1	< 0.1%
4222.062581	1	< 0.1%
4867.236591	1	< 0.1%
5320.409901	1	< 0.1%
5145.525554	1	< 0.1%
5691.261186	1	< 0.1%
6676.898525	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2980.732822	1	< 0.1%
3001.256324	1	< 0.1%
3008.225296	1	< 0.1%
3008.670417	1	< 0.1%
3009.358939	1	< 0.1%
3009.63354	1	< 0.1%
3015.243241	1	< 0.1%
3015.625102	1	< 0.1%
3016.462018	1	< 0.1%
3018.267217	1	< 0.1%

Value	Count	Frequency (%)
6894.817654	1	< 0.1%
6889.977775	1	< 0.1%
6875.675556	1	< 0.1%
6863.703649	1	< 0.1%
6863.412256	1	< 0.1%
6861.042668	1	< 0.1%
6858.519182	1	< 0.1%
6858.283916	1	< 0.1%
6856.599838	1	< 0.1%
6849.165772	1	< 0.1%

bank_branch_count_8w
Real number (ℝ)

Distinct	720
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	165.98545

Minimum	0
Maximum	2224
Zeros	1021
Zeros (%)	18.6%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	7
Q3	18
95-th percentile	1439.05
Maximum	2224
Range	2224
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	448.77222
Coefficient of variation (CV)	2.703684
Kurtosis	7.8226371
Mean	165.98545
Median Absolute Deviation (MAD)	7
Skewness	2.9804468
Sum	912920
Variance	201396.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1021	18.6%
1	995	18.1%
2	344	6.3%
11	188	3.4%
12	154	2.8%
10	153	2.8%
8	153	2.8%
14	146	2.7%
9	142	2.6%
13	141	2.6%
Other values (710)	2063	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1021	18.6%
1	995	18.1%
2	344	6.3%
3	62	1.1%
4	65	1.2%
5	84	1.5%
6	99	1.8%
7	97	1.8%
8	153	2.8%
9	142	2.6%

Value	Count	Frequency (%)
2224	1	< 0.1%
2206	1	< 0.1%
2192	1	< 0.1%
2179	1	< 0.1%
2168	1	< 0.1%
2152	1	< 0.1%
2143	1	< 0.1%
2136	1	< 0.1%
2135	1	< 0.1%
2127	1	< 0.1%

date_of_birth_distinct_emails_4w
Real number (ℝ)

Distinct	34
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5603636

Minimum	0
Maximum	36
Zeros	18
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	8
Q3	12
95-th percentile	18
Maximum	36
Range	36
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.0607324
Coefficient of variation (CV)	0.59118195
Kurtosis	0.74866575
Mean	8.5603636
Median Absolute Deviation (MAD)	3
Skewness	0.81211107
Sum	47082
Variance	25.611013
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
5	475	8.6%
7	469	8.5%
6	425	7.7%
8	416	7.6%
4	379	6.9%
9	370	6.7%
2	346	6.3%
3	344	6.3%
11	331	6.0%
10	318	5.8%
Other values (24)	1627	29.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18	0.3%
1	180	3.3%
2	346	6.3%
3	344	6.3%
4	379	6.9%
5	475	8.6%
6	425	7.7%
7	469	8.5%
8	416	7.6%
9	370	6.7%

Value	Count	Frequency (%)
36	2	< 0.1%
33	1	< 0.1%
32	2	< 0.1%
31	1	< 0.1%
29	2	< 0.1%
28	5	0.1%
27	3	0.1%
26	4	0.1%
25	10	0.2%
24	12	0.2%

employment_status
Real number (ℝ)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.48690909

Minimum	0
Maximum	6
Zeros	4220
Zeros (%)	76.7%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.1130055
Coefficient of variation (CV)	2.2858588
Kurtosis	7.2533784
Mean	0.48690909
Median Absolute Deviation (MAD)	0
Skewness	2.7423494
Sum	2678
Variance	1.2387811
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	4220	76.7%
1	630	11.5%
2	308	5.6%
5	161	2.9%
3	101	1.8%
4	78	1.4%
6	2	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4220	76.7%
1	630	11.5%
2	308	5.6%
3	101	1.8%
4	78	1.4%
5	161	2.9%
6	2	< 0.1%

Value	Count	Frequency (%)
6	2	< 0.1%
5	161	2.9%
4	78	1.4%
3	101	1.8%
2	308	5.6%
1	630	11.5%
0	4220	76.7%

credit_risk_score
Real number (ℝ)

Distinct	403
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	154.288

Minimum	-131
Maximum	376
Zeros	2
Zeros (%)	< 0.1%
Negative	55
Negative (%)	1.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	-131
5-th percentile	34
Q1	96
median	148
Q3	209
95-th percentile	294
Maximum	376
Range	507
Interquartile range (IQR)	113

Descriptive statistics

Standard deviation	78.947403
Coefficient of variation (CV)	0.51168855
Kurtosis	-0.45474767
Mean	154.288
Median Absolute Deviation (MAD)	57
Skewness	0.18614151
Sum	848584
Variance	6232.6925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
110	42	0.8%
86	39	0.7%
172	36	0.7%
120	36	0.7%
108	35	0.6%
100	34	0.6%
101	34	0.6%
143	33	0.6%
99	33	0.6%
163	32	0.6%
Other values (393)	5146	93.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-131	1	< 0.1%
-102	1	< 0.1%
-97	1	< 0.1%
-88	1	< 0.1%
-87	1	< 0.1%
-81	1	< 0.1%
-80	1	< 0.1%
-78	1	< 0.1%
-75	1	< 0.1%
-73	1	< 0.1%

Value	Count	Frequency (%)
376	1	< 0.1%
375	1	< 0.1%
374	1	< 0.1%
365	1	< 0.1%
360	1	< 0.1%
356	1	< 0.1%
355	1	< 0.1%
354	1	< 0.1%
353	1	< 0.1%
351	2	< 0.1%

email_is_free
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	3318
0	2182

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	3318	60.3%
0	2182	39.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	3318	60.3%
0	2182	39.7%

Most occurring characters

Value	Count	Frequency (%)
1	3318	60.3%
0	2182	39.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3318	60.3%
0	2182	39.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3318	60.3%
0	2182	39.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3318	60.3%
0	2182	39.7%

housing_status
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3470909

Minimum	0
Maximum	5
Zeros	1957
Zeros (%)	35.6%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.3056596
Coefficient of variation (CV)	0.96924385
Kurtosis	-0.41167567
Mean	1.3470909
Median Absolute Deviation (MAD)	1
Skewness	0.70759913
Sum	7409
Variance	1.7047469
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	1957	35.6%
2	1649	30.0%
1	1114	20.3%
4	631	11.5%
3	136	2.5%
5	13	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1957	35.6%
1	1114	20.3%
2	1649	30.0%
3	136	2.5%
4	631	11.5%
5	13	0.2%

Value	Count	Frequency (%)
5	13	0.2%
4	631	11.5%
3	136	2.5%
2	1649	30.0%
1	1114	20.3%
0	1957	35.6%

phone_home_valid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	3701
1	1799

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	3701	67.3%
1	1799	32.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3701	67.3%
1	1799	32.7%

Most occurring characters

Value	Count	Frequency (%)
0	3701	67.3%
1	1799	32.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3701	67.3%
1	1799	32.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3701	67.3%
1	1799	32.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3701	67.3%
1	1799	32.7%

phone_mobile_valid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	4841
0	659

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	4841	88.0%
0	659	12.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	4841	88.0%
0	659	12.0%

Most occurring characters

Value	Count	Frequency (%)
1	4841	88.0%
0	659	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4841	88.0%
0	659	12.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4841	88.0%
0	659	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4841	88.0%
0	659	12.0%

bank_months_count
Real number (ℝ)

Distinct	29
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.844182

Minimum	-1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	1680
Negative (%)	30.5%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	4
Q3	25
95-th percentile	30
Maximum	31
Range	32
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	12.49353
Coefficient of variation (CV)	1.1520952
Kurtosis	-1.4805654
Mean	10.844182
Median Absolute Deviation (MAD)	5
Skewness	0.4848086
Sum	59643
Variance	156.08828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
-1	1680	30.5%
1	860	15.6%
30	428	7.8%
28	394	7.2%
15	277	5.0%
31	263	4.8%
25	236	4.3%
10	200	3.6%
20	174	3.2%
2	163	3.0%
Other values (19)	825	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	1680	30.5%
1	860	15.6%
2	163	3.0%
3	24	0.4%
4	25	0.5%
5	152	2.8%
6	67	1.2%
7	5	0.1%
9	28	0.5%
10	200	3.6%

Value	Count	Frequency (%)
31	263	4.8%
30	428	7.8%
29	47	0.9%
28	394	7.2%
27	36	0.7%
26	97	1.8%
25	236	4.3%
24	16	0.3%
23	4	0.1%
22	20	0.4%

has_other_cards
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	4629
1	871

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4629	84.2%
1	871	15.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4629	84.2%
1	871	15.8%

Most occurring characters

Value	Count	Frequency (%)
0	4629	84.2%
1	871	15.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4629	84.2%
1	871	15.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4629	84.2%
1	871	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4629	84.2%
1	871	15.8%

proposed_credit_limit
Real number (ℝ)

Distinct	11
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	665.57455

Minimum	200
Maximum	2100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	200
5-th percentile	200
Q1	200
median	200
Q3	1500
95-th percentile	1500
Maximum	2100
Range	1900
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	586.87529
Coefficient of variation (CV)	0.88175741
Kurtosis	-0.86720084
Mean	665.57455
Median Absolute Deviation (MAD)	0
Skewness	0.83503247
Sum	3660660
Variance	344422.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
200	2815	51.2%
1500	1179	21.4%
500	759	13.8%
1000	448	8.1%
2000	200	3.6%
990	52	0.9%
510	22	0.4%
1900	18	0.3%
490	5	0.1%
210	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
200	2815	51.2%
210	1	< 0.1%
490	5	0.1%
500	759	13.8%
510	22	0.4%
990	52	0.9%
1000	448	8.1%
1500	1179	21.4%
1900	18	0.3%
2000	200	3.6%

Value	Count	Frequency (%)
2100	1	< 0.1%
2000	200	3.6%
1900	18	0.3%
1500	1179	21.4%
1000	448	8.1%
990	52	0.9%
510	22	0.4%
500	759	13.8%
490	5	0.1%
210	1	< 0.1%

foreign_request
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	5303
1	197

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5303	96.4%
1	197	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5303	96.4%
1	197	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	5303	96.4%
1	197	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5303	96.4%
1	197	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5303	96.4%
1	197	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5303	96.4%
1	197	3.6%

source
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	5461
1	39

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5461	99.3%
1	39	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5461	99.3%
1	39	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	5461	99.3%
1	39	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5461	99.3%
1	39	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5461	99.3%
1	39	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5461	99.3%
1	39	0.7%

session_length_in_minutes
Real number (ℝ)

Distinct	5492
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.9056275

Minimum	-1
Maximum	77.730242
Zeros	0
Zeros (%)	0.0%
Negative	8
Negative (%)	0.1%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	1.292612
Q1	3.1836955
median	5.1121734
Q3	8.8312064
95-th percentile	24.807428
Maximum	77.730242
Range	78.730242
Interquartile range (IQR)	5.6475109

Descriptive statistics

Standard deviation	8.9029198
Coefficient of variation (CV)	1.1261497
Kurtosis	13.060556
Mean	7.9056275
Median Absolute Deviation (MAD)	2.4862117
Skewness	3.2216353
Sum	43480.951
Variance	79.261981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	8	0.1%
6.022198272	2	< 0.1%
4.456483055	1	< 0.1%
8.907309959	1	< 0.1%
4.352656473	1	< 0.1%
4.789083314	1	< 0.1%
1.732422481	1	< 0.1%
0.445080736	1	< 0.1%
7.866015689	1	< 0.1%
5.840825551	1	< 0.1%
Other values (5482)	5482	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	8	0.1%
0.06597924678	1	< 0.1%
0.1110217821	1	< 0.1%
0.1449846511	1	< 0.1%
0.1647204077	1	< 0.1%
0.2360232136	1	< 0.1%
0.265162398	1	< 0.1%
0.3099296667	1	< 0.1%
0.3379993126	1	< 0.1%
0.3772451809	1	< 0.1%

Value	Count	Frequency (%)
77.73024155	1	< 0.1%
73.67424181	1	< 0.1%
69.90564674	1	< 0.1%
69.45262167	1	< 0.1%
67.60214552	1	< 0.1%
65.16586886	1	< 0.1%
64.61179558	1	< 0.1%
64.57177683	1	< 0.1%
64.15290397	1	< 0.1%
63.82582581	1	< 0.1%

device_os
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

3	2341
2	1420
0	1363
1	326
4	50

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	3
3rd row	3
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
3	2341	42.6%
2	1420	25.8%
0	1363	24.8%
1	326	5.9%
4	50	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2341	42.6%
2	1420	25.8%
0	1363	24.8%
1	326	5.9%
4	50	0.9%

Most occurring characters

Value	Count	Frequency (%)
3	2341	42.6%
2	1420	25.8%
0	1363	24.8%
1	326	5.9%
4	50	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2341	42.6%
2	1420	25.8%
0	1363	24.8%
1	326	5.9%
4	50	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2341	42.6%
2	1420	25.8%
0	1363	24.8%
1	326	5.9%
4	50	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2341	42.6%
2	1420	25.8%
0	1363	24.8%
1	326	5.9%
4	50	0.9%

keep_alive_session
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	2988
1	2512

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2988	54.3%
1	2512	45.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2988	54.3%
1	2512	45.7%

Most occurring characters

Value	Count	Frequency (%)
0	2988	54.3%
1	2512	45.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2988	54.3%
1	2512	45.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2988	54.3%
1	2512	45.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2988	54.3%
1	2512	45.7%

device_distinct_emails_8w
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	5111
2	326
0	60
-1	3

Length

Max length	2
Median length	1
Mean length	1.0005455
Min length	1

Characters and Unicode

Total characters	5503
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	5111	92.9%
2	326	5.9%
0	60	1.1%
-1	3	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5114	93.0%
2	326	5.9%
0	60	1.1%

Most occurring characters

Value	Count	Frequency (%)
1	5114	92.9%
2	326	5.9%
0	60	1.1%
-	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	99.9%
Dash Punctuation	3	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5114	93.0%
2	326	5.9%
0	60	1.1%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5503	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5114	92.9%
2	326	5.9%
0	60	1.1%
-	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5503	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5114	92.9%
2	326	5.9%
0	60	1.1%
-	3	0.1%

device_fraud_count
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	5500

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5500	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5500	100.0%

month
Real number (ℝ)

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4332727

Minimum	0
Maximum	7
Zeros	734
Zeros (%)	13.3%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.2709096
Coefficient of variation (CV)	0.66144167
Kurtosis	-1.2089142
Mean	3.4332727
Median Absolute Deviation (MAD)	2
Skewness	0.021075218
Sum	18883
Variance	5.1570306
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	766	13.9%
0	734	13.3%
2	698	12.7%
5	689	12.5%
6	685	12.5%
4	662	12.0%
1	646	11.7%
7	620	11.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	734	13.3%
1	646	11.7%
2	698	12.7%
3	766	13.9%
4	662	12.0%
5	689	12.5%
6	685	12.5%
7	620	11.3%

Value	Count	Frequency (%)
7	620	11.3%
6	685	12.5%
5	689	12.5%
4	662	12.0%
3	766	13.9%
2	698	12.7%
1	646	11.7%
0	734	13.3%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	fraud_bool	income	name_email_similarity	prev_address_months_count	current_address_months_count	customer_age	days_since_request	intended_balcon_amount	payment_type	zip_count_4w	velocity_6h	velocity_24h	velocity_4w	bank_branch_count_8w	date_of_birth_distinct_emails_4w	employment_status	credit_risk_score	email_is_free	housing_status	phone_home_valid	phone_mobile_valid	bank_months_count	proposed_credit_limit	session_length_in_minutes	device_os	keep_alive_session	device_distinct_emails_8w	month
9414	0	0.8	0.779245	-1	138	30	0.021109	-1.253772	3	745	1312.045321	2941.556881	4124.607584	10	11	0	134	1	1	1	1	2	200.0	4.828851	0	1	1	5
5695	1	0.9	0.331740	-1	171	30	0.018600	0.001803	3	1838	733.287595	6538.830365	4234.778124	10	2	0	265	1	0	0	1	1	1500.0	2.339753	3	0	1	1
5612	0	0.7	0.993781	27	3	20	3.168827	-0.939387	2	1519	7589.856133	6937.282824	5961.404433	19	3	1	132	1	2	0	1	-1	500.0	5.666658	3	0	1	0
2605	0	0.8	0.675565	-1	40	40	0.019582	-1.382736	1	859	6014.081770	3388.131834	4326.567101	10	7	0	80	0	1	1	1	1	200.0	10.236217	2	0	2	6
1371	1	0.9	0.711604	-1	88	20	0.027377	-1.093703	0	606	4315.040796	4234.736133	3008.670417	14	9	0	90	1	4	1	0	1	200.0	1.008182	2	1	1	7
7071	0	0.4	0.370633	53	6	30	0.001329	-0.688428	1	1428	3111.549712	6120.446097	5046.207629	1297	12	0	180	1	4	0	1	20	1000.0	5.581647	2	1	1	3
9563	0	0.5	0.272059	10	1	20	0.029865	-1.045670	2	1564	6011.523028	4990.373195	5066.189116	1	10	0	129	1	2	0	1	-1	500.0	6.759434	3	1	1	7
1089	0	0.8	0.818398	120	4	40	0.017229	-1.606182	3	583	6011.472880	5069.346578	5551.667164	15	14	0	157	1	1	0	1	1	200.0	11.416414	3	1	1	2
2689	1	0.9	0.057792	-1	133	60	0.011751	-0.487804	1	4627	4061.450193	4847.535575	4870.423046	15	1	2	260	1	0	1	0	25	500.0	23.613797	3	0	1	3
8667	1	0.9	0.150778	-1	150	50	9.195028	48.672171	0	1460	4926.161290	6058.099873	6611.081328	3	3	0	50	1	3	0	1	28	200.0	2.391361	3	1	1	1

	fraud_bool	income	name_email_similarity	prev_address_months_count	current_address_months_count	customer_age	days_since_request	intended_balcon_amount	payment_type	zip_count_4w	velocity_6h	velocity_24h	velocity_4w	bank_branch_count_8w	date_of_birth_distinct_emails_4w	employment_status	credit_risk_score	email_is_free	housing_status	phone_home_valid	phone_mobile_valid	bank_months_count	has_other_cards	proposed_credit_limit	source	session_length_in_minutes	device_os	keep_alive_session	device_distinct_emails_8w	month
4518	0	0.1	0.340333	54	0	20	6.196026	-1.003855	2	3369	9729.508259	8344.042181	5310.443457	30	11	0	38	1	2	0	1	1	0	200.0	0	44.918078	0	1	1	2
3186	0	0.9	0.994330	-1	50	30	0.000150	48.012012	0	787	5011.394167	4892.742299	5601.340220	8	12	0	126	1	1	0	1	16	1	200.0	0	6.074371	0	0	1	2
757	1	0.5	0.125351	-1	194	50	0.041308	-0.740768	1	721	1620.396890	3738.435453	3094.142196	645	0	0	251	1	0	0	1	5	0	1500.0	0	20.637848	0	0	1	0
8734	0	0.5	0.988162	-1	78	40	0.016588	-1.600208	1	395	2519.674383	4874.538445	4682.537422	1	17	5	193	0	1	1	1	1	0	1000.0	0	1.396403	2	0	1	4
2836	0	0.1	0.809111	-1	206	20	0.008169	-0.737300	3	3782	7427.835526	7127.342510	6805.050429	1	12	1	109	0	4	0	1	1	0	200.0	0	8.604057	3	1	1	0
5471	0	0.1	0.344062	-1	35	20	0.002665	-1.568294	1	2605	2502.951651	5447.046437	4823.893305	2	12	4	96	1	2	0	1	21	0	200.0	0	6.334895	2	1	1	4
9160	1	0.1	0.090230	-1	95	80	0.004980	-1.649791	1	889	3734.102942	4368.279708	4228.561516	0	2	2	226	1	0	1	1	-1	0	1500.0	0	4.221875	3	0	1	5
480	1	0.4	0.469968	-1	50	30	3.032884	-0.929847	2	3982	4684.544286	5187.871286	4285.064937	1	13	0	75	0	4	0	1	-1	0	200.0	1	2.342807	3	0	1	6
1733	1	0.8	0.151689	-1	49	50	3.179164	50.034267	0	643	2475.886432	3147.078312	3972.770811	1	8	0	99	0	0	0	1	-1	0	200.0	0	7.200848	2	0	1	6
8239	0	0.4	0.106095	27	3	30	0.027857	-0.671924	1	1565	5197.482364	5864.983677	4693.452736	8	19	1	109	1	2	0	1	20	0	500.0	0	5.286282	0	1	1	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII